DocumentCode
3272231
Title
Security Risk Assessment Model Based on AHP/D-S Evidence Theory
Author
Simei, Lu ; Jianlin, Zhang ; Hao, Sun ; Liming, Luo
Author_Institution
Coll. of Inf. Eng., Capital Normal Univ., Beijing, China
Volume
2
fYear
2009
fDate
15-17 May 2009
Firstpage
530
Lastpage
534
Abstract
To access information system security risk assessment is very important even in presence of uncertainty of the system. In this paper, we propose a method of AHP/D-S evidence theory to handle the uncertainty of the system. Compared with other methods, the analysis of hierarchy process (AHP) method has been widely used in security risk assessment, for this method can change from the qualitative index into quantitative index. Realistic risk assessment involves many uncertainty factors, some of which are even unknown. Considering the Dempster-Shafer theory of evidence (D-S) which is able to treat those uncertainties very well, this paper proposed a risk assessment model which is generated by combining AHP method with D-S method to solve these problems. Not only does the AHP/D-S method combine the advantages of both, but also can solve uncertain problems more scientifically. Finally, a sample of how to use AHP/D-S method in security risk assessment is given to prove our method.
Keywords
inference mechanisms; information systems; security of data; AHP/D-S evidence theory; Dempster-Shafer evidence theory; analysis of hierarchy process method; information system security risk assessment model; qualitative index; quantitative index; Decision making; Educational institutions; Information analysis; Information security; Information systems; Information technology; Risk analysis; Risk management; Sun; Uncertainty; Belief function; Dempster-Shafer Theory (D-S Theory); analytical hierarchy process (AHP); security risk assessment;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology and Applications, 2009. IFITA '09. International Forum on
Conference_Location
Chengdu
Print_ISBN
978-0-7695-3600-2
Type
conf
DOI
10.1109/IFITA.2009.294
Filename
5231396
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